Machine Learning Projects

Contains the code and resources for a project that aims to compare the music preferences of the cities of Springfield and Shelbyville. The project utilizes data analysis techniques to explore and understand the musical tastes of residents in these two cities.

Welcome to the Instacart Data Analysis project! This repository contains code and resources to explore and analyze data from Instacart, focusing on answering specific questions related to customer behavior and item preferences. The analysis aims to provide insights into customer shopping habits, reorder patterns, and the top items added to carts.

Welcome to the Megaline Telecom Data Analysis project! In this project, I analyzed the customer behavior and revenue patterns of Megaline Telecom users.

In this project I tested the following hypotheses: The average revenue from users of the Ultimate and Surf calling plans differs. The average revenue from users in the NY-NJ area differs from that of users in other regions. I explained how I formulated the null and alternative hypotheses. I described the criterion used to test the hypotheses and why I chose it. Finally, I chose an alpha value for significance.

Welcome to the Video Game Success Prediction project for Ice, an online store that sells video games worldwide. This repository contains the code and resources for analyzing user and expert reviews, genres, platforms, and historical sales data to identify patterns that can predict whether a video game will succeed. The project aims to assist in identifying potential blockbuster games and optimizing advertising campaigns for Ice.

Predictions of survivors on the titanic using ML models. Part of the Kaggle competition series.